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NVIDIA’s AI Empire: A Debt-Fueled Illusion

by Priya Shah – Business Editor

AI GPU Rental Boom⁤ Fueled by Billions in Debt Faces Reality Check as Losses Mount

NEW YORK A ⁣surge in ​private credit is⁣ backing the rapid expansion of companies renting out graphics ‍processing units (GPUs) essential for artificial intelligence development, but mounting losses and slowing growth at NVIDIA raise concerns about​ the sustainability of this debt-fueled ecosystem. An estimated $50 billion per quarter has been channeled⁤ into these “Neocloud” providers ​over the ⁢last three quarters, yet many are burning through capital at an alarming ‍rate, raising the specter of a private ‍credit bubble.

The frenzy ⁢centers around companies like CoreWeave and Lambda,​ which lease access to powerful NVIDIA GPUs to AI developers. these firms have ⁣secured massive debt ‍financing from major players ‌including JPMorgan, ‍Blackstone, and Nebius, effectively creating ‌a⁣ financial infrastructure designed ‍to funnel⁤ billions to NVIDIA. However, CoreWeave ‌alone reported burning $300 million ⁤in the last quarter and anticipates over $20 ​billion in capital expenditures for 2025, despite already⁤ ample spending of $2.9 billion and $3.4 billion in ‌prior periods. This pattern of heavy investment coupled with significant losses casts doubt​ on the ability of these companies to service their growing ⁢debt obligations.

JPMorgan has been a key lender, ⁤providing financing to both Lambda and Crusoe, and also expanding CoreWeave’s credit facility. Blackstone and magnetar Capital led a $7.5 billion debt financing for CoreWeave, while ⁢Nebius ⁤participated in a $1 billion aggregate principal amount convertible note placement for Lambda. Blackstone ⁢also provided financing ‌to Lambda. These investments reflect a widespread belief in the potential of AI,but also a reliance on ⁢continued,rapid growth.

The core issue is profitability. Despite the demand ‍for GPU compute power, these Neocloud companies are currently operating at a⁢ loss. With NVIDIA’s growth already showing signs⁢ of deceleration, the ability of these companies to generate sufficient revenue to repay their⁤ debts is increasingly uncertain. The situation raises the possibility of defaults and a⁢ broader correction in the private credit market, perhaps impacting investors⁤ and the future of AI infrastructure development.

The outcome remains unclear, but the current trajectory suggests a challenging period ahead for the AI⁤ GPU rental market and its backers.

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